
Part-Time AI Engineer – Conversational Voice AI Agent
1 week ago
Job Title: Part-Time AI Engineer – Conversational Voice AI Agent
Company: tunk.ai
Location: Remote
Type: Part-Time (Flexible Hours)
Experience: 2 Years of AI development experience
About the Role:
We are building a Conversational Voice AI Agent to automate and scale human-like conversations over phone calls. We are looking for a Part-Time AI Engineer who is highly proficient in Python, has strong object-oriented programming skills, and experience with WebSockets and real-time systems.
You will work on designing and building intelligent, multi-agent architectures using open-source LLMs and modern orchestration frameworks like LangChain, LangGraph, and MCP.
Responsibilities:
- Architect and implement modular, scalable Python services for real-time conversational AI.
- Build intelligent multi-agent workflows using LangChain, LangGraph, Google ADK, AutoGen, MCP, and LlamaIndex.
- Develop and manage FastAPI-based backend systems and REST/WebSocket interfaces.
- Implement real-time communication layers using WebSockets for streaming ASR/TTS and LLM responses.
- Integrate PostgreSQL and vector stores (e.g., FAISS, Milvus) for memory and context retrieval.
- Optimise performance, latency, and reliability of AI pipelines in production.
- Collaborate with the founding team to experiment and iterate rapidly.
Required Skills:
✅ Strong programming skills in Python, with a deep understanding of OOP concepts and design patterns.
✅ Proven experience working with WebSocket-based systems (real-time audio, chat, or data streaming).
✅ Experience with FastAPI and building backend APIs.
✅ Hands-on experience with LangChain, LangGraph, AutoGen, Google ADK, Sim.ai, LlamaIndex, and any other LLM-based AI agent frameworks.
✅ Good understanding of RAG pipelines, multi-agent orchestration, and AI workflow graphs.
✅ Experience with PostgreSQL and any vector store (FAISS, Chroma, Pinecone, etc.).
✅ Familiar with Git, debugging tools, and clean code practices.
Bonus Skills (Nice to Have):
- Experience with speech-to-text(STT) and text-to-speech (TTS) technologies.
- Worked on Twilio, Plivo, or similar call-routing platforms.
- Hands-on experience with Node.js
- Familiarity with async programming and concurrency in Python.
- Exposure to containerised deployments (Docker, Kubernetes).
Why Join Us?
- Work on an innovative real-time Voice AI product with real-world applications.
- Flexible part-time hours, fully remote work.
- Fast-paced startup environment with scope to grow.
- Potential long-term role or transition into a core team member.
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